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Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

2 April 2021
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
    XAI
    AI4TS
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey"

14 / 14 papers shown
Title
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang
Rui An
Wenqi Fan
Yanghui Rao
Yuxuan Liang
AI4TS
42
0
0
23 Apr 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez
Florian Sobieczky
AI4TS
43
0
0
17 Jan 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
64
28
0
30 Aug 2024
CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
AI4TS
CML
29
2
0
24 May 2024
Probing the Robustness of Time-series Forecasting Models with
  CounterfacTS
Probing the Robustness of Time-series Forecasting Models with CounterfacTS
Haakon Hanisch Kjaernli
Lluis Mas-Ribas
Aida Ashrafi
Gleb Sizov
Helge Langseth
Odd Erik Gundersen
AI4TS
21
0
0
06 Mar 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
Audrey Der
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
43
2
0
16 Jan 2024
A Time Series Approach to Explainability for Neural Nets with
  Applications to Risk-Management and Fraud Detection
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection
M. Wildi
Branka Hadji Misheva
AI4TS
17
1
0
06 Dec 2022
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAI
FAtt
AAML
32
4
0
09 Nov 2022
Painting the black box white: experimental findings from applying XAI to
  an ECG reading setting
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
16
9
0
27 Oct 2022
An Overview of Violence Detection Techniques: Current Challenges and
  Future Directions
An Overview of Violence Detection Techniques: Current Challenges and Future Directions
N. Mumtaz
N. Ejaz
Shabana Habib
Syed Muhammad Mohsin
Prayag Tiwari
Shahab S. Band
Neeraj Kumar
28
28
0
21 Sep 2022
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
21
91
0
14 Sep 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A
  Survey
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
12
51
0
07 Jun 2022
Toward Explainable AI for Regression Models
Toward Explainable AI for Regression Models
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
28
63
0
21 Dec 2021
Post-hoc explanation of black-box classifiers using confident itemsets
Post-hoc explanation of black-box classifiers using confident itemsets
M. Moradi
Matthias Samwald
45
97
0
05 May 2020
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